Cover Image

GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Manh, Gupta, Sunil, Do, Dai, Le, Hung
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
by: Nguyen, Manh, et al.
Published: (2025)

Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
by: Nguyen, Manh, et al.
Published: (2026)

Beyond Majority Voting: Efficient Best-Of-N with Radial Consensus Score
by: Nguyen, Manh, et al.
Published: (2026)

GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
by: Gabouj, Oussama, et al.
Published: (2025)

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation
by: Nguyen, Hieu, et al.
Published: (2025)

Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation
by: Chang, Yurui, et al.
Published: (2025)

Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
by: Le, Hung, et al.
Published: (2024)

SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
by: Wu, Chang-Hsun, et al.
Published: (2025)

Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
by: Fieback, Laura, et al.
Published: (2025)

Mitigating LLM Hallucinations via Conformal Abstention
by: Yadkori, Yasin Abbasi, et al.
Published: (2024)

Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
by: Pham, Hung Manh, et al.
Published: (2024)

A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)

SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
by: Do, Dai, et al.
Published: (2025)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
by: Trung, Quang Hoang, et al.
Published: (2024)

Automatic Prompt Selection for Large Language Models
by: Do, Viet-Tung, et al.
Published: (2024)

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
by: Wang, Chenxi, et al.
Published: (2024)

Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Multi-Reference Preference Optimization for Large Language Models
by: Le, Hung, et al.
Published: (2024)

ATLAS: Adaptive Test-Time Latent Steering with External Verifiers for Enhancing LLMs Reasoning
by: Nguyen, Tuc, et al.
Published: (2026)

Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
by: Tang, Zilu, et al.
Published: (2025)

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
by: Le, Minh, et al.
Published: (2024)

ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
by: Longpre, Shayne, et al.
Published: (2025)

Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
by: Wang, Yu, et al.
Published: (2025)

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models
by: Wichitwechkarn, Vijja, et al.
Published: (2025)

LANCET: Neural Intervention via Structural Entropy for Mitigating Faithfulness Hallucinations in LLMs
by: Wang, Chenxu, et al.
Published: (2026)

On Mitigating Code LLM Hallucinations with API Documentation
by: Jain, Nihal, et al.
Published: (2024)

Generation Constraint Scaling Can Mitigate Hallucination
by: Kollias, Georgios, et al.
Published: (2024)

TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
by: Chang, Shenxu, et al.
Published: (2025)

FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
by: Sarwar, Nobin
Published: (2025)

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
by: Siddiqui, S M Tahmid, et al.
Published: (2026)

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
by: Agrawal, Garima, et al.
Published: (2023)

Leveraging Graph Structures to Detect Hallucinations in Large Language Models
by: Nonkes, Noa, et al.
Published: (2024)

Temporal Graph Network: Hallucination Detection in Multi-Turn Conversation
by: Rathore, Vidhi, et al.
Published: (2026)

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
by: Le, Hung, et al.
Published: (2024)

Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models
by: Kaushik, Arjun Ramesh, et al.
Published: (2024)